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The purpose of this paper is to develop a bi-objective optimization framework to select prefabricated construction service composition. An improved algorithm-genetic simulated annealing algorithm (GSA) is employed to demonstrate the application of the framework.

The weighted aggregate multi-dimensional collaborative relationship is used to quantitatively evaluate the synergistic effect. The quality of service is measured using the same method. The research proposed a service combination selection framework of prefabricated construction that comprehensively considers the quality of service and synergistic effect. The framework is demonstrated by using a GSA that can accept poor solutions with a certain probability. Furthermore, GSA is compared with the genetic algorithm (GA), simulated annealing algorithm (SA) and particle swarm optimization algorithm (PSO) to validate the performance.

The results indicated that GSA has the largest optimal fitness value and synergistic effect compared with other algorithms, and the convergence time and convergence iteration of the improved algorithm are generally at a low level.

The contribution of this study is that the proposed framework enables project managers to clarify the interactions of the prefabricated construction process and provides guidance for project collaborative management. In addition, GSA helps to improve the probability of successful collaboration between potential partners, therefore enhancing client satisfaction.

The purpose of this paper is to develop a model considering synergy effect for prefabricated construction service combination selection.

This research defines prefabricated construction service as a service-led construction method that meets the specific requirements of clients. Based on network theory, the multi-dimensional collaborative relationships of the prefabricated construction inter-services are formulated. The synergy effect is quantitatively calculated through the linear weighting of the strengths of collaborative relationships. Further, a weighted synergy network (WSN) is developed, from which a service composition selection model considering the synergy effect is established. Then, a genetic algorithm is employed to implement the model.

The results showed that (1) when the number of prefabricated construction services is increased, the synergy effect of combination options is enhanced; (2) The finer-grained prefabricated construction services, the stronger the synergy effect of service combination; (3) Clients have heterogeneous preferences for collaborative relationships, and there are differences in the synergy effect of service combination.

The contribution of this research includes proposed a method to quantify the synergy effect from the perspective of collaborative relationships, explored the specific procedure for the prefabricated construction service combination selection under the service-led construction, and provided a reference for promoting the development in construction. Besides, the model proposed could be applied to prefabricated construction service composition selection with diverse research boundaries or client preferences by executing the same procedure.

The purpose of this paper is to conduct a comprehensive study on building, fire and evacuation, so as to effectively improve the efficiency of building fire evacuation and the management level of fire evacuation site. Make up for the difficulties of BIM technology in effectively connecting building information and fire data.

First, this paper establishes a fire model and an evacuation model based on BIM information. Then, the safety index (SI) is introduced as a comprehensive index, and the IRI is established by integrating the SI function to evaluate the safety of evacuation routes. Based on these two indices, the IRI-based fire evacuation model is established.

This study offers an Improved Risk Index (IRI)-based fire evacuation model, which may achieve effective evacuation in fire scenes. And the model is verified by taking the fire evacuation of a shopping center building as an example.

This paper proposes a fire evacuation principle based on IRI, so that the relevant personnel can comprehensively consider the fire factors and evacuation factors to achieve the optimization of building design, thereby improving the fire safety of buildings.

This study aims to drive the induction machine system with a low switching frequency.

An unconventional inverter control strategy – field-oriented predictive control (FOPC) – is presented. The strategy limits current distortion by setting a boundary circle. The voltage vector, which could keep current trajectories in boundary, is selected to obtain a low switching frequency.

A dual simulation step technique is developed to investigate the influence of sampling frequency on current distortion control and switching frequency. Current control distortion can be improved, i.e. reduced, by increasing the sampling frequency; however, the switching frequency will also increase. Such a law is discovered by the dual simulation step technique and finally verified by experiments.

A new predictive control method, FOPC, is derived from the rotor filed coordinate machine model and presented in this paper. FOPC circumvents derivative calculations, and thus avoids high-frequency noise amplification.

Generally speaking, the three‐year synchronous impact factor is larger than the two‐year one. This follows from theoretical models derived from observations based on ISIÒs database. In this article we present an exception to this general rule, based on data from the Chinese Science Citation Database (CSCD). In 1998 42% of this databaseÒs source journals did not follow the expected trend. As a possible explanation we note that, contrary to intuition, in the CSCD the changes in the number of both publications and citations are largely independent. It is, however, not ruled out that the observed discrepancies are nothing but statistical fluctuations of the basic publication‐citation model.

As one of the United Nations Educational, Scientific and Cultural Organization initiatives, the creative cities network (CCN) declares the cities that are creative in the contexts of music, gastronomy, design, etc., with the aim of promoting cooperation amongst the member cities and maintaining sustainable urban development. This study aims to identify the destination food image of Gaziantep in Turkey, which is a member gastronomy city of the CCN since 2015. Identified destination food image elements were connected to the common targets of the CCN to show how the city may contribute to the network objectives.

A two-stage research process was used in the study. First, qualitative approach was adopted for the clarification of projected and perceived destination food image elements. Projected image elements were derived from a content analysis performed on a totally 113 official, semi-official and unofficial online documents in Turkish and English. Perceived destination food image elements were identified by face-to-face interviews, conducted on 10 participants. As a result, 18 projected and 20 perceived destination food image elements were obtained. These were then grouped under 4 main and 22 sub-categories. At the second stage, destination food image elements were matched with common targets of the CCN.

Destination food image elements, obtained by two qualitative studies, are grouped under 4 main and 22 sub-categories as follows: gastronomic identity (with sub-categories of destination’s identity and local culinary culture); diversity of the destination (with sub-categories of attractiveness of the local food, ease of promotion and high brand value); gastronomic attractions (with sub-categories of restaurants and cafes, culinary museums, farmer markets, orchards, gastronomy tours, gastronomy events (e.g. festivals, competitions), culinary education, books on gastronomy, certification systems, organizations, street foods and vendors and handmade or homemade foods); and qualified workforce and stakeholders (with sub-categories of expert chefs and cooks, specialist suppliers, service personnel, locals and local authorities). These are then connected to the common CCN targets (e.g. cuisine, tourism and festivals; extension of the creative value chain; fostering cultural creativity; and sustainability).

This is one of the early research attempts in examining a member gastronomy city’s food image elements and the role that they played in the success of the CCN’s common targets. Moreover, the study contributes to the literature on the identification of (projected and perceived) destination food image by using content analysis.

The purpose of this paper is to analyse the impact of high-speed railway (HSR) on industrial pollution emissions using the data for 285 prefecture-level cities in China from 2004 to 2016.

The research method used in this paper is the multi-period difference-in-differences (DID) model, which is an effective policy effect assessment method. To further address the issue of endogeneity, the DID integrated with the propensity score matching (PSM-DID) approach is employed to eliminate the potential self-selection bias.

The results show that the HSR has significantly reduced industrial pollution emissions, which is validated by several robustness tests. Compared with peripheral cities, HSR exerts a greater impact on industrial pollution emissions in central cities. In addition, the mechanism test reveals that the optimised allocation of inter-city industries is an important channel for HSR to mitigate industrial pollution emissions, and this is closely related to the location of HSR stations.

Previous studies have paid more attention to evaluating the economic effects of HSR, however, most of these studies overlook its environmental effects. Consequently, the impact of HSR on industrial pollution emissions is led by using multi-period DID models in this paper, in which the environmental effects are measured. The results of this paper can provide a reference for the pollution reduction policies and also the coordinated development of economic growth and environmental quality.

This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and quantify the determinants of the adaptation measures.

The study conducted a household survey with 433 respondents in Lijiang to documents adaptation measures. The authors used a multivariate probit model to quantify five categories of adaptation measures against a set of household features, extension and information, resources, social network, financial assets and perception variables.

The most significant determinants consisted of information on early climate warnings and impending hazards, ownership to land and livestock, irrigation membership in community-based organisations, household savings, cash crop farming and perceptions of climate change and its related hazards. Adaptation strategies and policies highlighting these determinants could help to improve climate change adaptation in the region.

This study quantified the determinants of adaptive strategies and mapped important determinants for the region that will provide farmers with the appropriate resources and information to implement the best practices for adapting to climatic changes. The method and findings could be useful and easily replicable for future agriculture policies.

Climate change negatively affects agricultural crop production in the dry zone region of Myanmar. This paper aims to examine climate change adaptation strategies of farmers in the dry zone region. Farmers’ choice for adaptation strategies is influenced by many factors such as the practical availability and by socioeconomic conditions of the farmers. They are moreover influenced by the perception about climate change and by the specific problems prevailing in the farming systems.

This research is carried out in Magwe district in the dry zone region of Myanmar using a random selection of 212 farmers from three Townships (Magwe, Yenanchaung and Chauk). A multinomial logistic regression (MLR) was applied to assess the factors affecting the choice by farmers for adaptation strategies.

The study found that in the past, farmers used to apply locally available indigenous climate change adaptation strategies. However, recently, most farmers seem to have shifted to introduced adaptation strategies. The most popular adaptation strategy is to adjust the planting dates and sowing method (56.1 per cent). Furthermore, farmers identified a number of barriers that limit the adoption of adaptation methods. Risk is found to be an important driver of crop diversification. Finally, the MLR model showed that information from radio, access to seeds and extension services affect the choice of adaptation strategies.

The study shows that adoption of locally available indigenous climate change adaptation methods is gradually decreasing, and there is a shift to introduced adaptation strategies. The study can assist public and private organizations to obtain insight in the determinants of climate change adaptation in the dry zone region of Myanmar.

The purpose of this paper is to comprehensively evaluate the progress in the development of trapped vortex combustors (TVCs) in the past three decades. The review aims to identify the needs, predict the scope and discuss the challenges of numerical simulations in TVCs applied to gas turbines.

TVC is an emerging combustion technology for achieving low emissions in gas turbine combustors. The overall operation of such TVCs can be on very lean mixture ratio and hence it helps in achieving high combustion efficiency and low overall emission levels. This review introduces the TVC concept and the evolution of this technology in the past three decades. Various geometries that were explored in TVC research are listed and their operating principles are explained. The review then categorically arranges the progress in computational studies applied to TVCs.

Analyzing extensive literature on TVCs the review discusses results of numerical simulations of various TVC geometries. Numerical simulations that were used to optimize TVC geometry and to enhance mixing are discussed. Reactive flow studies to comprehend flame stability and emission characteristics are then listed for different TVC geometries.

To the best of the authors’ knowledge, this review is the first of its kind to discuss extensively the computational progress in TVC development specific to gas turbine engines. Earlier review on TVC covers a wide variety of applications including land-based gas turbines, supersonic Ramjets, incinerators and hence compromise on the depth of analysis given to gas turbine engine applications. This review also comprehensively group the numerical studies based on geometry, flow and operating conditions.